Web Camera Pro operates video analytics and intelligent detection on the video stream source side, eliminating the need to pay for object detection, face recognition, license plate detection, and fire/smoke detection. As compared to regular motion detection, this approach reduces the load on the communication channel and cloud storage by tens to hundreds of times. Additionally, the neural network algorithms of Web Camera Pro make it possible to develop solutions for real-time use on micro and regular computers, as well as on mobile phones.
Upon detecting motion, Web Camera Pro performs real-time object detection, uploading videos with information about the event to the cloud server in turn. By doing so, there is no constant load on the communication channel and the cloud server does not need to decode the video, significantly reducing service costs compared to competitors. Video Surveillance Cloud's tariff plans are not dependent on the number of cameras.